inference_cs

inference_cs.cs

nint[] ns_sum = new nint[] { 44, 1, 1 }; // 44 is the size of vocabulary
List<double> predicted_labels = new List<double>();
string hate_speech_var = "NOT OFFENSIVE";
double prob = 0.0;

MLMultiArray temp1 = new MLMultiArray(ns_sum, MLMultiArrayDataType.Double, out NSError error3);

var narray = new NSNumber[example.Length];
for (int i = 0; i < narray.Length; i++)
    narray[i] = NSNumber.FromDouble(example[i]);

for (int i = 0; i < narray.Length; i++)
    temp1.SetObject(narray[i], i);



var hate_coremlOutput = this.hate_model.GetPrediction(temp1, out NSError error2);


if (error3 != null)
{
    throw new Exception("Unexpected runtime error.");
}

if (error2 != null)
{

    throw new Exception("Error with Hate Model during Runtime.\n");
}

var hate_prob = hate_coremlOutput.Output1;


Console.WriteLine("Hate Probability Score: ");


Console.WriteLine(hate_prob);


predicted_labels.Add(hate_prob[0].DoubleValue);
predicted_labels.Add(hate_prob[1].DoubleValue);

if (hate_prob[0].DoubleValue > hate_prob[1].DoubleValue)
{
    hate_speech_var = "OFFENSIVE";
    prob = hate_prob[0].DoubleValue;

}
else
{
    prob = hate_prob[1].DoubleValue;
}
}


string title_text = "TEXT IS " + hate_speech_var;
string body_text = "Probability of being " + hate_speech_var + " is " + prob.ToString();